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High level knowledge sources in usable speech recognition systems
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Communications of the ACM archive
Volume 32 ,  Issue 2  (February 1989) table of contents
Pages: 183 - 194  
Year of Publication: 1989
ISSN:0001-0782
Authors
S. L. Young  Carnegie Mellon Univ., Pittsburgh, PA
A. G. Hauptmann  Carnegie Mellon Univ., Pittsburgh, PA
W. H. Ward  Carnegie Mellon Univ., Pittsburgh, PA
E. T. Smith  Greenfield Educational Software, Pittsburgh, PA
P. Werner  MAD Intelligent Systems, Cambridge, MA
Publisher
ACM  New York, NY, USA
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ABSTRACT

The authors detail an integrated system which combines natural language processing with speech understanding in the context of a problem solving dialogue. The MINDS system uses a variety of pragmatic knowledge sources to dynamically generate expectations of what a user is likely to say.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Hauptmann, A.G. Young, S.R., and Ward, W.H. Using dialog-level knowledge sources to improve speech recognition. In Proceedings of AAAI-88, The 7fh Nafional Conference on Artificial Intelligence, American Association for Artificial Intelligence. 1988. pp. 729-733. Saint Paul, MN.
 
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Young, S.R., and Ward, W.H. Towards habitable systems: Use of world knowledge to dynamically constrain speech recognition. 2d Symposium ou Advanced Man-Machine Interfaces fhrough Spoken Language, Hawaii. Nov., 1988. (submitted}.

CITED BY  32

Collaborative Colleagues:
S. L. Young: colleagues
A. G. Hauptmann: colleagues
W. H. Ward: colleagues
E. T. Smith: colleagues
P. Werner: colleagues